Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm

Mathematics

• Gaussian Mixture 100%
• Feature Selection 96%
• Model Selection 71%
• Paradigm 71%
• Clustering 68%
• Expectation-maximization Algorithm 57%
• Expectation Maximization 31%
• Number of Clusters 30%
• Mixture Model 25%
• Efficacy 25%
• Integrate 25%
• Benchmark 23%
• Relevance 23%
• Learning 21%
• Experiment 18%
• Subspace 16%
• Context 14%
• Performance 14%
• Concepts 12%
• Estimate 11%

Engineering & Materials Science

• Feature extraction 55%
• Set theory 9%
• Experiments 5%